A Contribution to the Schlesinger's Algorithm Separating Mixtures of Gaussians. - Vojtech Franc; Václav Hlavác (CAIP, 2001)

Multi-Class Support Vector Machine. - Vojtech Franc; Václav Hlavác (ICPR (2), 2002)

Robust subspace mixture models using t-distributions. - Dick de Ridder; Vojtech Franc (BMVC, 2003)

Greedy Algorithm for a Training Set Reduction in the Kernel Methods. - Vojtech Franc; Václav Hlavác (CAIP, 2003)

Alignment of Sewerage Inspection Videos for Their Easier Indexing. - Karel Hanton; Vladimír Smutný; Vojtech Franc; Václav Hlavác (ICVS, 2003)

An iterative algorithm learning the maximal margin classifier. - Vojtech Franc; Václav Hlavác (Pattern Recognit., 2003)

Sequential Coordinate-Wise Algorithm for the Non-negative Least Squares Problem. - Vojtech Franc; Václav Hlavác; Mirko Navara (CAIP, 2005)

Simple Solvers for Large Quadratic Programming Tasks. - Vojtech Franc; Václav Hlavác (DAGM-Symposium, 2005)

License Plate Character Segmentation Using Hidden Markov Chains. - Vojtech Franc; Václav Hlavác (DAGM-Symposium, 2005)

Greedy Kernel Principal Component Analysis. - Vojtech Franc; Václav Hlavác (Cognitive Vision Systems, 2006)

Estimation of fitness landscape contours in EAs. - Petr Posík; Vojtech Franc (GECCO, 2007)

Stopping conditions for exact computation of leave-one-out error in support vector machines. - Vojtech Franc; Pavel Laskov; Klaus-Robert Müller (ICML, 2008)

Optimized cutting plane algorithm for support vector machines. - Vojtech Franc; Sören Sonnenburg (ICML, 2008)

Recognition of Text with Known Geometric, Grammatical Structure. - Jan Rathouský; Martin Urban; Vojtech Franc (VISAPP (2), 2008)

Discriminative Learning of Max-Sum Classifiers. - Vojtech Franc; Bogdan Savchynskyy (J. Mach. Learn. Res., 2008)

Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. - Vojtech Franc; Sören Sonnenburg (J. Mach. Learn. Res., 2009)

COFFIN: A Computational Framework for Linear SVMs. - Sören Sonnenburg; Vojtech Franc (ICML, 2010)

The SHOGUN Machine Learning Toolbox. - Sören Sonnenburg; Gunnar Rätsch; Sebastian Henschel; Christian Widmer; Jonas Behr; Alexander Zien; Fabio De Bona; Alexander Binder; Christian Gehl; Vojtech Franc (J. Mach. Learn. Res., 2010)

Support Vector Machines as Probabilistic Models. - Vojtech Franc; Alexander Zien; Bernhard Schölkopf (ICML, 2011)

Learning Markov Networks by Analytic Center Cutting Plane Method. - Kostiantyn Antoniuk; Vojtech Franc; Václav Hlavác (ICPR, 2012)

Detector of Facial Landmarks Learned by the Structured Output SVM . - Michal Uricár; Vojtech Franc; Václav Hlavác (VISAPP (1), 2012)

Facial Landmarks Detector Learned by the Structured Output SVM. - Michal Uricár; Vojtech Franc; Václav Hlavác (VISIGRAPP (Selected Papers), 2012)

Face and landmark detection by using cascade of classifiers. - Hakan Cevikalp; Bill Triggs; Vojtech Franc (FG, 2013)

MORD: Multi-class Classifier for Ordinal Regression. - Kostiantyn Antoniuk; Vojtech Franc; Václav Hlavác (ECML/PKDD (3), 2013)

Bundle Methods for Structured Output Learning - Back to the Roots. - Michal Uricár; Vojtech Franc; Václav Hlavác (SCIA, 2013)

RAVEL: an annotated corpus for training robots with audiovisual abilities. - Xavier Alameda-Pineda; Jordi Sanchez-Riera; Johannes Wienke; Vojtech Franc; Jan Cech; Kaustubh Kulkarni; Antoine Deleforge; Radu Horaud (J. Multimodal User Interfaces, 2013)

Interval Insensitive Loss for Ordinal Classification. - Kostiantyn Antoniuk; Vojtech Franc; Václav Hlavác (ACML, 2014)

A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking. - Jan Cech; Vojtech Franc; Jiri Matas (ICPR, 2014)

FASOLE: Fast Algorithm for Structured Output LEarning. - Vojtech Franc (ECML/PKDD (1), 2014)

Consistency of structured output learning with missing labels. - Kostiantyn Antoniuk; Vojtech Franc; Václav Hlavác (ACML, 2015)

Real-time multi-view facial landmark detector learned by the structured output SVM. - Michal Uricár; Vojtech Franc; Diego Thomas; Akihiro Sugimoto; Václav Hlavác (FG, 2015)

Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector. - Michal Uricár; Vojtech Franc; Václav Hlavác (ICCV Workshops, 2015)

Learning Detector of Malicious Network Traffic from Weak Labels. - Vojtech Franc; Michal Sofka; Karel Bartos (ECML/PKDD (3), 2015)

Learning Invariant Representation for Malicious Network Traffic Detection. - Karel Bartos; Michal Sofka; Vojtech Franc (ECAI, 2016)

Optimized Invariant Representation of Network Traffic for Detecting Unseen Malware Variants. - Karel Bartos; Michal Sofka; Vojtech Franc (USENIX Security Symposium, 2016)

Multi-view facial landmark detection by using a 3D shape model. - Jan Cech; Vojtech Franc; Michal Uricár; Jiri Matas (Image Vis. Comput., 2016)

Multi-view facial landmark detector learned by the Structured Output SVM. - Michal Uricár; Vojtech Franc; Diego Thomas; Akihiro Sugimoto; Václav Hlavác (Image Vis. Comput., 2016)

V-shaped interval insensitive loss for ordinal classification. - Kostiantyn Antoniuk; Vojtech Franc; Václav Hlavác (Mach. Learn., 2016)

Learning CNNs for Face Recognition from Weakly Annotated Images. - Vojtech Franc; Jan Cech (FG, 2017)

Visual Language Identification from Facial Landmarks. - Radim Spetlík; Jan Cech; Vojtech Franc; Jiri Matas (SCIA (2), 2017)

Large-scale robust transductive support vector machines. - Hakan Cevikalp; Vojtech Franc (Neurocomputing, 2017)

Visual Heart Rate Estimation with Convolutional Neural Network. - Radim Spetlík; Vojtech Franc; Jan Cech; Jiri Matas (BMVC, 2018)

License Plate Recognition and Super-resolution from Low-Resolution Videos by Convolutional Neural Networks. - Vojtech Vasek; Vojtech Franc; Martin Urban (BMVC, 2018)

Learning CNNs from weakly annotated facial images. - Vojtech Franc; Jan Cech (Image Vis. Comput., 2018)

Learning data discretization via convex optimization. - Vojtech Franc; Ondrej Fikar; Karel Bartos; Michal Sofka (Mach. Learn., 2018)

On discriminative learning of prediction uncertainty. - Vojtech Franc; Daniel Prusa (ICML, 2019)

On Model Evaluation Under Non-constant Class Imbalance. - Jan Brabec; Tomás Komárek; Vojtech Franc; Lukás Machlica (ICCS (4), 2020)

CNN Based Predictor of Face Image Quality. - Andrii Yermakov; Vojtech Franc (ICPR Workshops (6), 2020)

Learning Maximum Margin Markov Networks from examples with missing labels. - Vojtech Franc; Andrii Yermakov (ACML, 2021)

Dominant subject recognition by Bayesian learning. - Vojtech Franc; Andrii Yermakov (FG, 2021)

Hairstyle Transfer between Face Images. - Adéla Subrtová; Jan Cech; Vojtech Franc (FG, 2021)

Consistent and Tractable Algorithm for Markov Network Learning. - Vojtech Franc; Daniel Prusa; Andrii Yermakov (ECML/PKDD (4), 2022)

Detection of Microscopic Fungi and Yeast in Clinical Samples Using Fluorescence Microscopy and Deep Learning. - Jakub Paplhám; Vojtech Franc; Daniela Lzicarová (VISIGRAPP (4: VISAPP), 2023)

Unraveling the Age Estimation Puzzle: Comparative Analysis of Deep Learning Approaches for Facial Age Estimation. - Jakub Paplhám; Vojtech Franc (CoRR, 2023)

Reject option models comprising out-of-distribution detection. - Vojtech Franc; Daniel Prusa; Jakub Paplhám (CoRR, 2023)

Optimal Strategies for Reject Option Classifiers. - Vojtech Franc; Daniel Prusa; Václav Vorácek (J. Mach. Learn. Res., 2023)

A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark. - Jakub Paplhám; Vojtech Franc (CVPR, 2024)

SCOD: From Heuristics to Theory. - Vojtech Franc; Jakub Paplhám; Daniel Prusa (ECCV (84), 2024)

Constrained Binary Decision Making. - Daniel Prusa; Vojtech Franc (NeurIPS, 2024)